I am a Python backend engineer with 6 years of experience, dedicated to building reliable, high-performance systems that deliver results every time. My recent work focuses on integrating large language models (LLMs), AI automation, and agentic workflows-ensuring that the solutions I develop are both innovative and robust.
Through hands-on experience with scalable architectures, I have developed a strong command of the design patterns, frameworks, and tools essential for dependable software at scale. I am committed to high-quality testing and rapid validation cycles, always striving to deliver solutions that are both correct and efficient.
I enjoy tackling challenging problems at the intersection of backend engineering and artificial intelligence, and I’m always eager to learn and apply the latest technologies.
Languages: Python, Bash, SQL
Libraries: FastAPI, Pandas, Celery, Numpy, Langchain, LangGraph, Pytorch, Tensorflow, scikit-learn, Spark, OpenCV
Databases: MongoDB, PostgreSQL, Redis, Arangodb, Chroma
Tools & Platforms: AWS(Step Functions, EC2, Lambda, S3, Sagemaker), GCP, Docker, Kubernetes, Nginx, Apache Airflow